Neurobiological underpinning of eating disorders: integrative biopsychosocial longitudinal analyses in adolescents

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The eating disorders (EDs) [anorexia nervosa (AN), bulimia nervosa (BN), binge eating disorder (BED) and related syndromes] are common psychiatric disorders that affect up to 15% of young women and up to 4% of young men in developed countries. The cause of these disorders is complex and their development influenced by environmental, psychological and biological factors that may interact to create a risk for different clinical presentations of the disorder. While known risk factors include sociocultural influences (e.g. media exposure, idealisation of thinness) and personality factors, a range of other factors are either unknown or can currently only be considered as correlates. There is also the increasingly broad acceptance of EDs as being brain-based disorders sharing neurobiological overlaps with anxiety disorders and addictions. Identifying true risk factors for EDs and understanding how they contribute to the development of the specific aspects of the disorders, including behaviours related to reward and punishment, cognitive control and emotional processes, will be crucial for improving prevention and treatment of EDs.To investigate this and understand how behaviours of dysfunctional eating develop, we will use a rich database collected a large population-based, longitudinal cohort of adolescents of the IMAGEN study. With over n=2000 participants recruited from four European countries, including the UK, Ireland, Germany and France, and followed-up at ages 14, 16, 19 and 23, IMAGEN is the largest and most comprehensively characterized longitudinal gene x neuroimaging cohort. The adolescents of this study underwent neuroimaging assessments and extensive assessments to monitor health and wellbeing, including personality measures, social determinants, and pre- and post-natal life-events questionnaires, neuropsychological and biological measures. There is also an extensive characterisation of behavioural measures related to ED symptoms, internalising and externalising behaviours and substance use. To demonstrate that any differences observed in the IMAGEN population can also apply to a clinical population, we will complement the IMAGEN sample with a sample of emerging adults, of comparable age to the most recent IMAGEN follow-up (i.e. ~ 23 years-old), diagnosed with a first episode ED (AN or BN/BED). Before undergoing treatment for their ED, those individuals, unmedicated at the time of recruitment, will be assessed in a similar way as the IMAGEN participants. By combining these two samples we will be in a position to identify multiple correlates of dysfunctional eating across the full spectrum of drinking patterns. The analyses of the repeated measures of the longitudinal IMAGEN dataset, will allow us to better establish which correlates have a causal role in the development of EDs (those occurring before appearance of eating disorder symptoms). They will also enable us to characterising possible protective and/or additional risk factors, both environmental and biological. For this research, we have brought together unique resources, a leading expert in EDs and scientific leaders in neuroimaging, genetics and developmental psychopathology to form a multi-disciplinary team, which is excellently positioned to deliver the research necessary to understand the underlying mechanisms and heterogeneity of EDs and inform future prevention and treatment strategies.